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Teguh Susyanto
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Jurnal TIKOMSIN (Teknologi Informasi dan Komunikasi Sinar Nusantara)
Published by STMIK Sinar Nusantara Surakarta
ISSN : -     EISSN : 26207532     DOI : http://dx.doi.org/10.30646/tikomsin
Core Subject : Science,
Computer Science & IT
Jurnal Tikomsin merupakan terbitan berkala hasil penelitian dalam bidang ilmu komputer mencakup disiplin ilmu teknologi informasi meliputi Sistem Pendukung Keputusan, Kecerdasan buatan, Data mining, Jaringan Komputer etc. Majalah ini diterbitkan secara periodik dua kali dalam setahun yaitu bulan April dan Oktober dan masing-masing terbitan sebanyak 9 artikel per issue.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 10 Documents
 1 
Search results for , issue "Vol 10, No 2 (2022): Jurnal TIKomSiN, Vol. 10, N0. 2, Oktober 2022" : 10 Documents clear
Kombinasi Penjualan Kain Batik Menggunakan Metode Apriori Yustina Retno Wahyu Utami; Hendro Wijayanto; Richi Adi Prasetyo
Jurnal Teknologi Informasi dan Komunikasi (TIKomSiN) Vol 10, No 2 (2022): Jurnal TIKomSiN, Vol. 10, N0. 2, Oktober 2022
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/tikomsin.v10i2.649

Abstract

The existence of operational activities selling batik cloth every day will increase more and more, If left alone, the transaction data will only become meaningless garbage. is an individual company that manufactures and sells batik with various types of batik. The types of batik include Batik Insights, Color Insights, Cash Written Batik, Fine Written Batik, Fine Granite Written Batik, Night Print Batik, Stamped Batik, Combined Batik, Dagel Batik. In processing sales data, it is still done manually, which only uses records and receipts, so the data only functions as an archive. The data used in this study are sales transaction data for 2 years with a total of 215 transactions. The purpose of this study is to implement apriori algorithm system for the combination of batik fabric sales on Dewi Ratih batik so that it can help to find out the types of batik that are most often purchased. The results of this study are to determine which combination of batik fabric sales are most often bought simultaneously by determining a minimum support of 30% and a minimum confidence of 70% with a comparison of Weka and PHP MysQL applications with an accuracy rate of 100%
Implementasi Metode Location Based Services Pada Sistem Presensi Pegawai Abdullah Ahmad Ma'shum; Dwi Remawati; Bramastyo Wiryawan Yudhanto
Jurnal Teknologi Informasi dan Komunikasi (TIKomSiN) Vol 10, No 2 (2022): Jurnal TIKomSiN, Vol. 10, N0. 2, Oktober 2022
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/tikomsin.v10i2.651

Abstract

The attendance system is a digital attendance record, this is needed to evaluate employee attendance data. During the corona virus pandemic, the employee attendance system having some problems related to physical distancing policies, it needs problem solving to solve the problem, it is namely by maximizing the attendance coordinates of each employee, which use Location Based Services (LBS) technology method and haversine formula that functions to calculate the distance of the attendance coordinates with the employee's position. Creating the system using Software Development Life Cycle (SDLC), Waterfall, Node.js, Express.js, Flutter and MySQL as well as a VPS server. The final result of the employee attendance system can run on two platforms, the frontend version on android mobile devices and the backend version on the website. The test results on the employee attendance system received a "reasonable" predicate with an achievement range of 70-74 %. The conclusion of this research is creating the creation of an employee attendance system use location coordinates which is answered the problems on this research. 
Implementasi Dan Pengujian Struktur Data Berbasis Acuan Untuk Program Aplikasi Mengungkap Kepribadian Berdasarkan Tanggal Lahir Dan Nama SM Santi Winarsih; Agus Winarno Wahono
Jurnal Teknologi Informasi dan Komunikasi (TIKomSiN) Vol 10, No 2 (2022): Jurnal TIKomSiN, Vol. 10, N0. 2, Oktober 2022
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/tikomsin.v10i2.631

Abstract

ABSTRACTThe depth of IF (IF_Then_Else) structure of an algorithm influence the execution speed of program. One of the way to speed up the execution of program is reducing the depth of the existing IF structure or reduce the number of selections (IF) in an algorithm process. The idea based on this research is to reduce the IF structure (IF Then Else) smaller then IF structure, through a concept of transforming the IF structure (IF_Then_Else) into a reference structure. This method is doing by mapping the criteria in the selection into a reference index. The process of transforming the IF structure into a reference structure becomes the concept of designing a data structure into the topic of this research. This research is continuinng from the previous research which is the purpose of this research is implementing and testing the reference based on the data structure for the application program to express personality based on date of birth and name . The concept hopefully be able to carry out the program fastly. The steps of this research are starting with the literature study step to find out the references then collecting the data, identifying and classifying the data and arranging into correct pattern, then decide the steps to access the data and finally continuing the implementation and testing of the system. The reference data structure, the selection process (IF THEN ELSE) can be eliminated, because the process of fulfilling the selection criteria can be replaced with a reference. Beside of the implementation process and system testing, the output of this research will plan to articles in scientific journals and registered with HKI.
Sistem Pendukung Keputusan Pemilihan Supplier Menggunakan Metode Simple Additive Weighting Di Toko Listrik Agus Dwi Janarko; Tri Irawati; Sri Hariyati Fitriasih
Jurnal Teknologi Informasi dan Komunikasi (TIKomSiN) Vol 10, No 2 (2022): Jurnal TIKomSiN, Vol. 10, N0. 2, Oktober 2022
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/tikomsin.v10i2.642

Abstract

Madiun electricity shop is trading company which provides electricity goods. The purpose of this study is to develop a supplier selection decision support system application which is help the administrative officer to make decision based on the highest level. The simple additive weighting method applied to know each weight based on criteria and proceed with ranking which will select alternatives. The results of the research create a support system application which is select the best supplier based on the highest level. It is according to the calculations using the Simple Addtive Weighting method. The results show that the highest supplier level is on "Supplier1" with a value of "4.167". The testing method uses blackbox and validity. The result of that testing shows that there is accept on all system test scenarios. The testing validity shows that there is any comparison between old system and new system. The result of that validity testing is any comparison of the level of similarity of the selected supplier of 20% and the difference of the selected supplier of 80%, this shows significant difference between the old system and the new system. 
Implementasi KRACK dan KRACK Detector terhadap Wpa_Supplicant pada Perangkat Android dan Linux Ubuntu Dozy Arti Insani; Nanang Trianto; Dimas Febriyan Priambodo
Jurnal Teknologi Informasi dan Komunikasi (TIKomSiN) Vol 10, No 2 (2022): Jurnal TIKomSiN, Vol. 10, N0. 2, Oktober 2022
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/tikomsin.v10i2.639

Abstract

Nowadays WiFi services is available in many public places to accesses the information. Most of WiFi services use the Wifi Protected Access 2 (WPA2) security. This protocol uses a 4-way handshake mechanism for authentication process, but there is a weakness by using the 4-way handshake mechanism that possible to re-install the key (KRACK). This weakness can be used by attackers to hold up communications so that attackers can enter the network. This study, KRACK analysis was carried out on wpa_supplicant Android and Linux Ubuntu which connected to WiFi and the WPA2 security protocol to know the weaknesses. The analysis is doing on the user's device by connecting to the Rogue AP generated by the Vanhoef script. This dangerous line is compared to normal line. Analyzing attacks on 4-way handshakes, this research create implementation of KRACK Detector and the result of detection will be used to get the KRACK characteristics. The information getting from the result can prevent the disadvantages which coming by attacks. The validation of the research was carried out by using Wireshark to make sure that the third massage sends which show threat of attack.
Analisis Teks Bahasa Indonesia Dan Inggris Dari Sebuah Citra Menggunakan Pengolahan Citra Digital Akhmad Fadjeri; Atik Muhimatun Asroriyah; Atiq Rahmawati
Jurnal Teknologi Informasi dan Komunikasi (TIKomSiN) Vol 10, No 2 (2022): Jurnal TIKomSiN, Vol. 10, N0. 2, Oktober 2022
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/tikomsin.v10i2.650

Abstract

The purpose of this research is to analyze Indonesian text and English text from images using digital image processing. The method used in this research is an experimental method such as: literature review , identification problems, hypotheses, analyzing materials, designing programs, conducting tests and drawing conclusions. The result of this research is to detect the text contained in the image. This research result a digital image processing program in text that is containing from an image that has text in it, using input or input in form of a character image. The image that will be recognized into text with Tesseract OCR and output the text detected by the program. This program can show the level of accuracy to recognize characters and words. It conducted kind of testing on 8 images use several of text characters on it. In this case, the system can recognize characters on the text form, with an average accuracy 96% of the test data taken on images sourced from the internet. According to the testing results, this level of accuracy indicates that this application is quite accurate and efficient in identification the image of certain word or text character.
Sistem Informasi Covid-19 Berbasis Mobile Dengan Framework Flutter dan Application Programming Interface (API) Hermawan Setiawan; Muhammad Novrizal Ghiffari
Jurnal Teknologi Informasi dan Komunikasi (TIKomSiN) Vol 10, No 2 (2022): Jurnal TIKomSiN, Vol. 10, N0. 2, Oktober 2022
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/tikomsin.v10i2.640

Abstract

The corona virus (COVID-19) has been happen for long time on the world, recently there is a new variant, namely omicron, which is rapidly spreading throughout the world, especially in Indonesia. The lack and difficulty to creating of spreading data of corona virus, it makes difficulty to know the information of corona virus cases for people especially for people who want doing kinds of trip.  This research uses Information system of Covid-19 to plan the flutter framework and uses APIs to be able to solve these problems. The implementation of Flutter and API can easily collaborate to exchange the data in JSON format, so that data of covid-19 cases and their problems can be handled in the information system. 
Mapping Assistance For The Distribution Of Nine Food Staples To People Groups In Joglo Village Using K-Means Method Iwan Ady Prabowo; Bela Septiana
Jurnal Teknologi Informasi dan Komunikasi (TIKomSiN) Vol 10, No 2 (2022): Jurnal TIKomSiN, Vol. 10, N0. 2, Oktober 2022
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/tikomsin.v10i2.654

Abstract

There are so many people live in Joglo village. However, sometimes  the government  feel confuse to decide the distribution of staple necessities.  The decision sometimes feel unfair dan get disappointing result because it is not appropriate to the real condition in certain family. The purpose of this study is to create model of mapping system for staple food assistance in Joglo village using the K-Means method. The method of this research use collecting data, modeling data using K-Means, Application Creation, Application Testing. There are some steps on collecting data, such as: observation, interview and literature case. The data came from the result of population census survey on 2020. Its used K-Means Method in data modelig stage. The data has been analyzed and modeled using the application of the K-Mean Method and  the stage of making an application using PHP in accordance with the stage pattern in the K-Mean method, then application testing is carried out whether it is appropriate for the K-Means method modeller. Mapping system for staple food assistance in Joglo Village using the K-means method that has been made has alternative input data and criteria. The result of this study has reciever mapping food in Joglo Village forming 3 clusters. There are 21 people on the first cluster, 16 people on the second cluster, 13 people on the third cluster.
IMPLEMENTASI ALGORITMA APRIORI PADA PENENTUAN KOMBINASI MENU UMKM TOCIN CORNER SUKOHARJO Fadel Thoriq Nur Muhammad; Retno Tri Vulandari; Paulus Harsadi
Jurnal Teknologi Informasi dan Komunikasi (TIKomSiN) Vol 10, No 2 (2022): Jurnal TIKomSiN, Vol. 10, N0. 2, Oktober 2022
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/tikomsin.v10i2.644

Abstract

The thesis report for the April algorithm application of the menu sales in the TOCIN CORNER sukoharjo bar has been conducted on July 1, 2019-31, 2019. In view of the condition of sales in the TOCIN CORNER, there is still a problem in menu and raw materials stocks. Among other things, there is still a steady buildup of preordained menu supplies. This leads to the possibility of consumer disappointment even turning to other wedgies, as the availability of preferred menu has been exhausted. The objective of this thesis is to build a system that can be useful in locating and compiling the appropriate combination of the menu by using the apricot method on the menu sales in the TOCIN CORNER in order to increase the sales of the menu. The research methods used in this study include data collection methods and data analysis methods. Data collection methods include observation, interviews and library studies. While the data analysis method is done by means of data obtained will be described according to actual circumstances, researched, studied and processed as a material to create the program. In this study a design model system development life cycle (SDLC). The system development life cycle isa gradual approach to analyzing and building the design system using a specific cycle of user activities as for the SDLC stages are analysis, design, construction/coding, implementation, and testing. The results of the data analysis on the implementation of the menu selling system in TOCIN CORNER are using apricot method with system design usecase, output input design, database design, technology design, instructions to run the program. The implementation of the menu of TOCIN CORNER USES the apriestary method that has been created has transaction data facilities, daily data input, accounting processes, data reports. From this data the launch will produce results reports.
Sistem Penunjang Keputusan Penerimaan Siswa Baru Berprestasi Di SMP IT Surakarta Menggunakan Metode Nearest Neighbor Dan Simple Additive Weighting Andika Ardiansyah; Muhammad Hasbi; Teguh Susyanto
Jurnal Teknologi Informasi dan Komunikasi (TIKomSiN) Vol 10, No 2 (2022): Jurnal TIKomSiN, Vol. 10, N0. 2, Oktober 2022
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/tikomsin.v10i2.658

Abstract

SMP IT Nur Hidayah Surakarta, was established in 2004/2005 academic year. SMP IT Nur Hidayah has been graduated 3 generation of graduation, on the academic year of 2006/2007, 2007/2008 and 2008/2009. In the new student admission program there is an acceptance limit for students who are eligible for scholarships. The criteria used in the selection process include: average grades of report cards, written tests, parents' income and achievements. In decision new students, the school wants quality selection results by predicting new prospective students and then decide new students. The purpose of this study was to design a decision support system for new students using the Nearest Neighbor (NN) and Simple Additive Weighting (SAW) methods. This method was chosen because it is able to carry out a prediction process and a ranking process to determine the best alternative. The technique used in this research is observation, interview and literature study. In the design of this system is made with Context Diagram, HIPO, DAD, relations between tables and database design. The application is made using the PHP programming language and the database uses My SQL. The final results are in the form of student data reports, prediction reports, selection reports and reports on the best selection results. System testing is done by testing the functionality which shows the accepted results and the validity test which shows the valid results. The results of system testing with the MAPE test showed an accuracy of 88.7%.

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